A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation

A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation (2000)

by Ted Pedersen

Citations:

31 - 1 self

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Datum	Value	Source
TITLE	A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation	SVM HeaderParse 0.1
AUTHOR NAME	Ted Pedersen	user correction - Legacy Corrections
ABSTRACT	This paper presents a corpus-based approach to word sense disambiguation that builds an ensemble of Naive Bayesian classifiers, each of which is based on lexical features that represent co-occurring words in varying sized windows of context. Despite the simplicity of this approach, empirical results disambiguating the widely studied nouns line and interest show that such an ensemble achieves accuracy rivaling the best previously published results.	user correction - Legacy Corrections
YEAR	2000	user correction - Legacy Corrections
CITATIONS	14 found	ParsCit 1.0